Quantitative Engineering Intern - Summer 2026
AltruistLos Angeles, CAPosted 6 April 2026
Job Description
About Altruist
Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients.
We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you!
But first, our values
Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully.
Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one.
Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles.
The opportunity
Altruist is in the midst of an exceptional growth phase and we’re excited to hire a Quantitative Developer Inter for Summer 2026 to join our growing Quant team. As a Quantitative Investing Intern on the Investment Solutions teams at Altruist, you will gain hands-on experience in developing investment strategies that are deeply coupled with their technical implementation. In our 10 week program, you will collaborate with cross-functional teams, including engineering, design, operations, and compliance, to develop and bring new investment capabilities to life. This is an exciting opportunity to help shape the future of the financial services industry while working in a fast-paced, mission-driven environment.
Your impact
Perform research on financial data using optimization software and statistical packages.
Analyze and develop investment strategies that can be personalized at scale to deliver value through risk exposures, tax management, and implementation edge.
Collaborate with the engineering and design teams to ensure successful product development, testing, and deployment.
Support product launch activities, including user documentation, training materials, and client communication.
Analyze data and user behavior to assess the impact of new product features and identify areas for further optimization.
Provide support in user acceptance testing (UAT) and help ensure product quality and reliability.
What you bring
Experience - At least 1 Internship related to Quant Developing, Quant Research, or Trading
Education - Ideally looking for a B.A. / B.S. degree in relevant fields such as Financial Engineering, Economics, Applied Mathematics, etc.
Technical aptitude - You’re technologically savvy and can easily get up to speed on modern tech stacks (Python, SQL, and more)
Ownership - The pride you put into every aspect of your work is unparalleled and undeniable
Superb communication - Intentional dialogue is a superpower. You listen as well as you share your perspective with others.
Resilience - We’re inspired by your unwavering determination to achieve success, no matter the adversity you face along way.
Assurance - Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives.
Creative problem solving - Identifying the problem is simply not enough. You’re instinctually creative with your approach in finding solutions to roadblocks.
What we bring
Attracting and retaining top-tier talent is a priority. We are proud of the culture we’ve built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits ... (truncated, view full listing at source)
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